T-SQL: Derived tables & table value constructors
In this technical blogpost one of our developers, Peter de Heer, highlights T-SQL derived tables & table value constructors. He then presents a well performing technique for doing unpivoting operations with them.
Whitepaper Rick van der Lans
From Master Data-Driven BI to Integrated Forecasting and Budgeting.
The possibilities of data in the logistics sector
The Cohelion Data Platform helps organizations to get more out of their data. Bringing them close to becoming a data-driven organization. Watch the video to get to know the possibilities of data and how we help our customer Swissport with our platform!
Introducing Customer Profitability
This month we released our new business solution: Customer Profitability. With this out of the box solution it is possible to calculate important profitability statistics and directly generate ad-hoc reports tailored to your organization by dividing indirect and overhead costs over all your customers in a fair and traceable way.
T-SQL: Len() and DataLength()
In this technical blogpost, Peter de Heer explains the meaning of the Len() and DataLength() functions and how they're used. By showing you a small demonstration we hope to give you some insights on these two functions that seems very similar, but have their own side-effects.
The role of SQL
In this blogpost Peter de Heer explains the basics of SQL and why this industry standard is heavily used within the Cohelion Data Platfrom
Cohelion is one of the FD Gazellen 2020
Every year 'Financieel Dagblad' organizes the FD Gazellen: the award for the fastest growing companies in the Netherlands. We are proud to announce that we are one of the 772 FD Gazelle 2020! This makes us one of the fastest growing companies in the Netherlands.
Gitflow plus: Participative Software Development
Basically all software development is: 1. Turning coffee into cool things 2. fixing broken thing (due to lack of coffee, or coffee-overdose)
Why prediction algorithms fail because of Covid-19
Future expectations about sales, workload or prices are based on experiences from the past. During the covid-19 crisis, many industries have seen unexpected changes in the figures that are important to them.